HelloZicky / DUET

[WWW2023] PyTorch implementation of "DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization".

Date Created 2023-09-09 (about a year ago)

Commits 5 (last one 11 days ago)

Stargazers 27 (0 this week)

Watchers 1 (0 this week)

Forks 0

License gpl-3.0

Ranking

RepositoryStats indexes 627,578 repositories, of these HelloZicky/DUET is ranked #610,258 (3rd percentile) for total stargazers, and #552,984 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #123,458/127,525.

HelloZicky/DUET is also tagged with popular topics, for these it's ranked: computer-vision (#3,217/3267), image-classification (#407/418), recommendation-system (#126/126)

Other Information

HelloZicky/DUET has Github issues enabled, there are 3 open issues and 4 closed issues.

Homepage URL: https://dl.acm.org/doi/abs/10.1145/3543507.3583451

All Topics

edge-cloud device-cloud hypernetwork computer-vision personalization domain-adaptation dynamic-parameter image-classification parameter-generation device-generalization domain-generalization recommendation-system sequential-recommendation device-cloud-collaboration facial-expression-recognition

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

5 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The primary language is Python but there's also others...

updated: 2025-03-04 @ 09:50pm, id: 689317852 / R_kgDOKRYn3A